Instructions to use saik0s/comfy_backup with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use saik0s/comfy_backup with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="saik0s/comfy_backup", filename="ComfyUI/models/text_encoders/gemma-3-12b-it-q2_k.gguf", )
llm.create_chat_completion( messages = "No input example has been defined for this model task." )
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use saik0s/comfy_backup with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf saik0s/comfy_backup:Q4_K_S # Run inference directly in the terminal: llama cli -hf saik0s/comfy_backup:Q4_K_S
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf saik0s/comfy_backup:Q4_K_S # Run inference directly in the terminal: llama cli -hf saik0s/comfy_backup:Q4_K_S
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf saik0s/comfy_backup:Q4_K_S # Run inference directly in the terminal: ./llama-cli -hf saik0s/comfy_backup:Q4_K_S
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf saik0s/comfy_backup:Q4_K_S # Run inference directly in the terminal: ./build/bin/llama-cli -hf saik0s/comfy_backup:Q4_K_S
Use Docker
docker model run hf.co/saik0s/comfy_backup:Q4_K_S
- LM Studio
- Jan
- Ollama
How to use saik0s/comfy_backup with Ollama:
ollama run hf.co/saik0s/comfy_backup:Q4_K_S
- Unsloth Studio
How to use saik0s/comfy_backup with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for saik0s/comfy_backup to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for saik0s/comfy_backup to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for saik0s/comfy_backup to start chatting
- Pi
How to use saik0s/comfy_backup with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf saik0s/comfy_backup:Q4_K_S
Configure the model in Pi
# Install Pi: npm install -g @mariozechner/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "saik0s/comfy_backup:Q4_K_S" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use saik0s/comfy_backup with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf saik0s/comfy_backup:Q4_K_S
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default saik0s/comfy_backup:Q4_K_S
Run Hermes
hermes
- Atomic Chat new
- OpenClaw new
How to use saik0s/comfy_backup with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf saik0s/comfy_backup:Q4_K_S
Configure OpenClaw
# Install OpenClaw: npm install -g openclaw@latest # Register the local server and set it as the default model: openclaw onboard --non-interactive --mode local \ --auth-choice custom-api-key \ --custom-base-url http://127.0.0.1:8080/v1 \ --custom-model-id "saik0s/comfy_backup:Q4_K_S" \ --custom-provider-id llama-cpp \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
- Docker Model Runner
How to use saik0s/comfy_backup with Docker Model Runner:
docker model run hf.co/saik0s/comfy_backup:Q4_K_S
- Lemonade
How to use saik0s/comfy_backup with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull saik0s/comfy_backup:Q4_K_S
Run and chat with the model
lemonade run user.comfy_backup-Q4_K_S
List all available models
lemonade list
| <template> | |
| <form | |
| ref="container" | |
| @submit.prevent="handleSubmit" | |
| @reset.prevent="handleReset" | |
| > | |
| <div class="mx-auto w-full max-w-[50rem]"> | |
| <div | |
| :class="[ | |
| 'relative flex gap-4 overflow-hidden', | |
| $xl('flex-row', 'flex-col'), | |
| ]" | |
| > | |
| <ModelPreview | |
| class="shrink-0" | |
| v-model:editable="editable" | |
| ></ModelPreview> | |
| <div class="flex flex-col gap-4 overflow-hidden"> | |
| <div class="flex h-10 items-center justify-end gap-4"> | |
| <slot name="action" :metadata="formInstance.metadata.value"></slot> | |
| </div> | |
| <ModelBaseInfo v-model:editable="editable"></ModelBaseInfo> | |
| </div> | |
| </div> | |
| <Tabs value="0" class="mt-4"> | |
| <TabList> | |
| <Tab value="0">Description</Tab> | |
| <Tab value="1">Metadata</Tab> | |
| </TabList> | |
| <TabPanels pt:root:class="p-0 py-4"> | |
| <TabPanel value="0"> | |
| <ModelDescription v-model:editable="editable"></ModelDescription> | |
| </TabPanel> | |
| <TabPanel value="1"> | |
| <ModelMetadata></ModelMetadata> | |
| </TabPanel> | |
| </TabPanels> | |
| </Tabs> | |
| </div> | |
| </form> | |
| </template> | |
| <script setup lang="ts"> | |
| import ModelBaseInfo from 'components/ModelBaseInfo.vue' | |
| import ModelDescription from 'components/ModelDescription.vue' | |
| import ModelMetadata from 'components/ModelMetadata.vue' | |
| import ModelPreview from 'components/ModelPreview.vue' | |
| import { useContainerQueries } from 'hooks/container' | |
| import { | |
| useModelBaseInfoEditor, | |
| useModelDescriptionEditor, | |
| useModelFormData, | |
| useModelMetadataEditor, | |
| useModelPreviewEditor, | |
| } from 'hooks/model' | |
| import { cloneDeep } from 'lodash' | |
| import Tab from 'primevue/tab' | |
| import TabList from 'primevue/tablist' | |
| import TabPanel from 'primevue/tabpanel' | |
| import TabPanels from 'primevue/tabpanels' | |
| import Tabs from 'primevue/tabs' | |
| import { BaseModel, WithResolved } from 'types/typings' | |
| import { ref, toRaw, watch } from 'vue' | |
| interface Props { | |
| model: BaseModel | |
| } | |
| const props = defineProps<Props>() | |
| const editable = defineModel<boolean>('editable') | |
| const emits = defineEmits<{ | |
| submit: [formData: WithResolved<BaseModel>] | |
| reset: [] | |
| }>() | |
| const formInstance = useModelFormData(() => cloneDeep(toRaw(props.model))) | |
| useModelBaseInfoEditor(formInstance) | |
| useModelPreviewEditor(formInstance) | |
| useModelDescriptionEditor(formInstance) | |
| useModelMetadataEditor(formInstance) | |
| const handleReset = () => { | |
| formInstance.reset() | |
| emits('reset') | |
| } | |
| const handleSubmit = async () => { | |
| const data = formInstance.submit() | |
| emits('submit', data) | |
| } | |
| watch( | |
| () => props.model, | |
| () => { | |
| handleReset() | |
| }, | |
| ) | |
| const container = ref<HTMLElement | null>(null) | |
| const { $xl } = useContainerQueries(container) | |
| </script> | |